Enhancing volume visualization with lightness anchoring theory

Lin Zheng; Kwan-Liu Ma

doi:10.1145/3095140.3095160

Enhancing volume visualization with lightness anchoring theory

Lin Zheng, Kwan-Liu Ma

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.

Original language	English (US)
Title of host publication	CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference
Publisher	Association for Computing Machinery
Volume	Part F128640
ISBN (Electronic)	9781450352284
DOIs	https://doi.org/10.1145/3095140.3095160
State	Published - Jun 27 2017
Event	2017 Computer Graphics International Conference, CGI 2017 - Yokohama, Japan Duration: Jun 27 2017 → Jun 30 2017

Other

Other	2017 Computer Graphics International Conference, CGI 2017
Country/Territory	Japan
City	Yokohama
Period	6/27/17 → 6/30/17

Keywords

Anchoring rule
Perceived lightness
Volume visualization

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3095140.3095160

Cite this

@inproceedings{44a6d47a1aa44f7381d9d2c25e3a901c,

title = "Enhancing volume visualization with lightness anchoring theory",

abstract = "Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.",

keywords = "Anchoring rule, Perceived lightness, Volume visualization",

author = "Lin Zheng and Kwan-Liu Ma",

year = "2017",

month = jun,

day = "27",

doi = "10.1145/3095140.3095160",

language = "English (US)",

volume = "Part F128640",

booktitle = "CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference",

publisher = "Association for Computing Machinery",

note = "2017 Computer Graphics International Conference, CGI 2017 ; Conference date: 27-06-2017 Through 30-06-2017",

}

TY - GEN

T1 - Enhancing volume visualization with lightness anchoring theory

AU - Zheng, Lin

AU - Ma, Kwan-Liu

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.

AB - Volume rendering is an effective method for visualizing 3D data. However, it's still difficult to obtain an effective image, especially when there are complicated structures which may cause underexposure problems. Adjusting light sources and parameters adds computational cost, without alleviating the underexposure phenomenon. This paper presents the novel idea of applying lightness anchoring theory for volume visualization enhancement. An anchoring hypothesis, the Highest-Luminance-As-White rule, is adjusted to adapt our volume rendered image. After employing the lightness anchored optimization, underexposed areas can be revealed while still preserving the local depth relationship.

KW - Anchoring rule

KW - Perceived lightness

KW - Volume visualization

UR - http://www.scopus.com/inward/record.url?scp=85025441362&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85025441362&partnerID=8YFLogxK

U2 - 10.1145/3095140.3095160

DO - 10.1145/3095140.3095160

M3 - Conference contribution

AN - SCOPUS:85025441362

VL - Part F128640

BT - CGI 2017 - Proceedings of the 2017 Computer Graphics International Conference

PB - Association for Computing Machinery

T2 - 2017 Computer Graphics International Conference, CGI 2017

Y2 - 27 June 2017 through 30 June 2017

ER -

Enhancing volume visualization with lightness anchoring theory

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this